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» Markov Random Field Modeling in Computer Vision
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CORR
2010
Springer
171views Education» more  CORR 2010»
13 years 4 months ago
Online Learning in Opportunistic Spectrum Access: A Restless Bandit Approach
We consider an opportunistic spectrum access (OSA) problem where the time-varying condition of each channel (e.g., as a result of random fading or certain primary users' activ...
Cem Tekin, Mingyan Liu
CVPR
2007
IEEE
14 years 11 months ago
Online Detection of Fire in Video
This paper describes an online learning based method to detect flames in video by processing the data generated by an ordinary camera monitoring a scene. Our fire detection method...
A. Enis Çetin, B. Ugur Töreyin
ICPR
2006
IEEE
14 years 10 months ago
Mixture of Support Vector Machines for HMM based Speech Recognition
Speech recognition is usually based on Hidden Markov Models (HMMs), which represent the temporal dynamics of speech very efficiently, and Gaussian mixture models, which do non-opt...
Sven E. Krüger, Martin Schafföner, Marce...
CVPR
2010
IEEE
14 years 5 months ago
Tracking with Local Spatio-Temporal Motion Patterns in Extremely Crowded Scenes
Tracking individuals in extremely crowded scenes is a challenging task, primarily due to the motion and appearance variability produced by the large number of people within the sc...
Louis Kratz, Ko Nishino
CVPR
2007
IEEE
14 years 3 months ago
Accurate Dynamic Sketching of Faces from Video
A sketch captures the most informative part of an object, in a much more concise and potentially robust representation (e.g., for face recognition or new capabilities of manipulat...
Zijian Xu, Jiebo Luo